At the Crossroads of Data Management and DevOps

DevOps continues to transform the way companies build and deploy applications through agile methodologies, better communication and collaboration, faster feedback loops and greater automation.

However, even the best DevOps initiatives can fall victim to data bottlenecks, from challenges provisioning data quickly and easily, to synchronizing application and database changes and, in some cases, a serious lack of cooperation between developers and database administrators.

At the same, new technologies and strategies have emerged that are helping companies overcome these issues, including database automation, data virtualization and cloud services, multi-model data platforms, and microservices.

DBTA recently held a webinar featuring John Pocknell, senior product marketing Manager, information management group, Quest Software, and Jamie Pope, senior technology leader, Delphix, who discussed the burgeoning world of agile data management.

Enterprise data is growing fast, Pope explained. It is being predicted that by 2025 there will be a 25x increase in enterprise data.

A new approach to data needs to be portable, available, and secure, Pope said. Delphix can help test data management.

The platform provides self-service access to a full test data library and a developer, QA self-service catalogue.

The typical data management DevOps challenge consists of a variety of factors:

  • Production DBA discovers consistent month-end performance problem on various critical databases.
  • Operations needs to quickly identify root cause and implement any necessary changes.
  • Development need to include additional work into their next sprint.
  • Any changes to SQL need to be performance tested before releasing into production to ensure scalability.
  • On-prem changes need to be replicated quickly to cloud databases.

There are a few actions one can take to solve these problems, Pocknell said. This includes automating build and release of database changes, automating performance testing of schema changes, review database changes in production, and more.

An archived on-demand replay of this webinar is available here.